MINING IMAGE DATASETS

Mrs. Kajal Salekar , Dr. Satishkumar Varma, Prof. Rupali Nikhare

Mining Image dataset is one of the necessary features in the present development. The image datasets are used to store and retrieve the precious information from images, data mining on them. Pixel-wised image features were extracted and transformed into a database-like table which allows various data mining algorithms to make explorations on it. Each tuple of the transformed table has a feature descriptor formed by a set of features in combination with the target label of a particular pixel. With the label feature, we can accept the decision tree algorithm to understand relationships between attributes and the target label from image pixels, and to make a model for pixel-wised image processing according to a given training image dataset. The model can be very efficient and helpful for image processing and image mining. It is likely that by using the model, various existing data mining and image processing methods could be worked on mutually in different behaviour. Our model can also be used to create new image processing methodologies, refine existing image processing methods, or act as a powerful image filter.